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P2‐286: Preclinical cognitive phenotypes for Alzheimer's disease: A latent profile approach
Author(s) -
Hayden Kathleen,
Kuchibhatla Maragatha,
Plassman Brenda,
Romero Heather,
Burke James R.,
WelshBohmer Kathleen
Publication year - 2012
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2012.05.994
Subject(s) - clinical dementia rating , disease , cognition , latent class model , dementia , neuropsychology , psychology , clinical psychology , alzheimer's disease , medicine , neuropsychological test , psychiatry , statistics , mathematics
linear regression models were used to evaluate associations between MoCA domains and normalized WLM, Trails B, and ADCScog scores, each in separate models adjusted for age, sex, and education. Results: The sample was mostly female (74%), Caucasian (80% Caucasian; 18% AfrAmer), and highly educated (mean 16.4, standard deviation (SD) 2.3). The average MoCA score was 26.6 (SD 2.9). The MoCA memory score was the strongest predictor of WLM (0.34, 95% CI 0.026-0.43) with a one-third standard unit increase on WLM score for every unit increase in memory score. Memory was also the strongest predictor of ADCScog score (higher scores indicate impairment) (0.18, CI 0.270.08). MoCA executive function was the strongest predictor of Trails-B, with each unit increase in executive function corresponding to almost a one third standard unit decrease on Trails B (0.29, CI 0.400.19). Conclusions: Simple MoCA subscales correspond with well-established cognitive tests (WLM, Trails-B, and ADCScog). This study helps establish the construct validity of the MoCA as a cognitive screening instrument capable of detecting key cognitive domains affected in MCI and early AD in a community sample.